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Abstract #2132

Quantifying tumour oxygenation using streamlined-qBOLD

Alan J Stone1, Esther AH Warnert2, Puneet Plaha3,4, Natalie L Voets1,3, and Nicholas P Blockley1

1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, 3Department of Neurosurgery, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom, 4Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

Hypoxia and high metabolic demand are important identifying features of high-grade gliomas. Imaging methods capable of mapping tissue oxygenation therefore have the potential to provide non-invasive information about the metabolic environment of tumour tissue and may produce useful markers for stage grading and monitoring treatment efficacy. Here we demonstrate the use of streamlined-qBOLD for mapping tumour oxygenation.

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